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310 articles for “early detection”
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Knowledge and Attitude of Women Regarding Mammogram and Other Screening Modalities for Breast Cancer in a Selected Hospital, Kottayam
Abstract: The present study was conducted at Caritas Hospital, to assess the knowledge and attitude of women (30–50 years) regarding mammogram and other screening modalities. The study aimed to evaluate women's understanding of mammograms and various breast cancer screening methods, gauge their attitudes toward mammograms and other screening options, investigate the relationship between women's knowledge and attitudes regarding these screening methods, explore any associations between knowledge and certain demographic factors, and …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 36–44 Read article
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Overview of Diabetic Neuropathy: A Comprehensive Examination
Abstract: Abstract: India has earned the unfortunate distinction of being the global epicenter for diabetes, with an alarming projection of 109 million individuals expected to be afflicted by the condition by 2035The global influence of diabetic neuropathy is significant, with an estimated 132 million individuals affected as of 2010, constituting roughly 1.9% of the global populace. Notably, within the diabetic population, there exists a significantly heightened prevalence The prevalence of sensory …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 26–36 Read article
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Effectiveness of structured teaching programme on knowledge regarding ECG and its basic interpretation among second semester BSc Nursing students in selected nursing college at Pathanamthitta district
Abstract: Cardiovascular diseases have now become the leading cause of mortality in India. Cardiovascular disease accounts for twenty five percent of all mortality. Electrocardiogram has an important role in the early detection and treatment of various cardiovascular diseases. Over the year significant advancements have been made in the field of ECG research, leading to the development of new techniques, technologies and algorithms for ECG analysis. ECG allows nurse to diagnose and …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 09–20 Read article
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Designing and Developing a Cancer Chatbot in a Website
Abstract: Cancer is a disease that affects millions of people worldwide each year and is characterized by the rapid growth of cells that are abnormal. The outcome is affected since numerous cases are discovered at advanced stages of the disease. Anxiety and depression are two mental health issues that frequently coexist with the illness, worsening its effects on sufferers. There were many medical apps that provide guidelines for patients, but these …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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Concern for Public Health: Periodontitis
Abstract: Periodontitis, a severe form of gum disease, erodes the bone that supports teeth and results in tooth loss. It is caused by bacterial infection and inflammation of the soft tissues around the teeth. About 70% of people 65 years of age and older are affected, on average. Red, bleeding, sensitive gums, foul breath, and receding gums are hallmark indications. Depending on the severity, a full dental examination, the insertion of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 1, 2024 · pp. 22–26 Read article
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The Impact of Climate Change on Infectious Diseases: Potential Risks and Mitigation Strategies
Abstract: As we confront the pressing challenge of climate change, it's vital to recognize its intertwined connection with infectious diseases. We must now navigate a future that combines strong public health interventions, environmental stewardship, and strong policy actions as we stand at the crossroads of crises. In an attempt to lessen the drastic effects of climate change on the dynamics of disease transmission, this study identifies potential risks and creative solutions. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 21–32 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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Editorial: Advancements in Movement Analysis for Understanding Neurological Disorders
Abstract: Neurological disorders pose a significant challenge, demanding innovative approaches for accurate diagnosis, effective treatment, and deeper understanding. Movement analysis emerges as a powerful tool, offering a quantitative window into the complexities of motor function. This editorial delves into the transformative impact of movement analysis on neurological research and clinical practice. Traditional diagnostic methods, reliant on subjective observations, often miss subtle motor impairments, particularly in early disease stages. Movement analysis tackles …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 28–32 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Stiff Person Syndrome: Advances in Understanding, Diagnosis, and Treatment of a Rare Autoimmune Disorder
Abstract: Stiff Person Syndrome (SPS) is a rare and complex autoimmune neurological disorder characterized by progressive muscle stiffness, rigidity, and painful spasms. This chapter provides a comprehensive overview of SPS, exploring its pathophysiology, clinical presentation, diagnostic challenges, and current treatment approaches. We discuss the latest research findings, including the role of autoantibodies, genetic factors, and environmental triggers in the development of SPS. The chapter examines various diagnostic methods, emphasizing the importance …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 35–43 Read article
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Remote Sensing and GIS-Based Approaches for Soil Salinization Assessment: A Comprehensive Review
Abstract: Soil salinization, a critical environmental challenge, significantly impacts land productivity, agricultural yields, and contributes to desertification, particularly in arid and semi-arid regions. Early detection and effective management of soil salinity are essential for sustainable agriculture and land management. Remote sensing (RS) and geographic information systems (GIS) have emerged as indispensable tools for mapping, monitoring, and analyzing soil salinity over vast areas. RS provides multi-temporal and multi-spectral data that helps identify …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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A Study on Improving CBR Value by using EPE foam in Addition to GGBS Slag for Subgrade Soil
Abstract: This paper identifies the use of industrial by-product Ground Granulated Blast Furnace Slag (GGBS) as a stabilizing agent in expansive soil with high swelling property causing severe damage to buildings built on it, and this study identifies the optimal percentage of GGBS for increasing the strength of clayey soil. Using GGBS slag to improve the CBR value of subgrade soil can have potential benefits. Ground Granulated Blast Furnace Slag (GGBS) …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 1–23 Read article
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Cancer Tumor Markers And Its Latest Trends
Abstract: Almost one in six deaths occurs due to abnormal cell division; these cells are termed cancer cells in general. Cancer cells collaborate to multiply and metastasize. Our aim is to awaken awareness in people to understand their bodies and motivate them for early diagnosis,as cancer is the second leading cause of death after cardiovascular disease. The human body is a marvellous creation in nature; in response to cancer, it creates …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 25–38 Read article
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Cardiotoxicity Associated with Tyrosine Kinase Inhibitors in Philadelphia Chromosome-Positive Leukemias: An Overview of Mechanisms, Clinical Implications, and Management Strategies
Abstract: Tyrosine kinase inhibitors have greatly enhanced the outlook for individuals diagnosed with Philadelphia chromosome-positive leukemias, including chronic myeloid leukemia and acute lymphoblastic leukemia. However, these therapeutic agents are associated with Cardiotoxicities and can manifest as left ventricular dysfunction, which may progress to heart failure, along with electrocardiographic abnormalities, dysrhythmias, hypertension, myocardial ischemia, and thromboembolic events. The unclear frequency of drug-induced cardiovascular complications, coupled with uncertainties regarding their reversibility and long-term …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 18–24 Read article
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The Effectiveness of a Nurse-led Cervical Cancer Prevention Program Among Reproductive-age Women in Selected Areas of Chennai
Abstract: Background: Cervical cancer remains a major global health issue, significantly impacting women's health. Early detection and preventive measures through screening, along with enhanced awareness, are vital in lowering mortality rates associated with this disease. This study aimed to evaluate the effectiveness of a nurse-led cervical cancer prevention program in improving knowledge and practice related to cervical cancer prevention among women. Methods: This quasi-experimental study was conducted with 60 women divided …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 6–13 Read article
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Awareness and Knowledge of Postpartum Psychosis Among Antenatal Women: A Call for Educational Intervention
Abstract: Postpartum psychosis (PP) is a rare yet critical mental health disorder that poses serious risks to the well-being of new mothers. This condition manifests through a range of acute symptoms, including manic episodes, depressive states, confusion, hallucinations, and delusions. Symptoms typically present abruptly within the first two weeks following childbirth, making it a medical emergency that necessitates urgent care. Left untreated, PP can lead to severe consequences, including self-harm or …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 125–134 Read article
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Epidermolysis Bullosa and Its Role in Cervical Cancer: An Overview
Abstract: Epidermolysis Bullosa is a group of uncommon genetic disorders that primarily affect the skin and mucous membranes. It is marked by severe skin fragility and the formation of blisters even after minor trauma. Traditionally, the focus of Epidermolysis Bullosa research has been on its dermatological manifestations, which include recurrent blistering, scarring, and the potential for infections due to the compromised skin barrier. However, recent advancements in Epidermolysis Bullosa research have …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 14–18 Read article